247 assistant-professor-computer-science-"https:"-"https:"-"https:" Fellowship positions in Australia
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technologies research in AIBN and at UQ. You will have research expertise in the use of computational chemistry and software development, with the capacity to apply these methods to research questions related
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Food and Beverage Accelerator Program : Based in the Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time (100%), fixed-term lab-based position for up to 2 years Base salary
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health discipline relevant to lifestyle intervention such as nutrition, exercise science, occupational therapy or physical education in primary school) and experience. Demonstrated experience working
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ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive
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· Part time fixed term until 2 March 2027 · Research Fellow role supporting research program in skin cancer prevention and treatment for high‑risk populations-including high risk kidney
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impact. You will join a cross-disciplinary group of highly experienced and internationally recognised researchers at the Centre for Health Informatics (CH), part of the Australian Institute of Health
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals
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contact Silva Zavarsek (Associate Professor, Health Technology Assessment) on silva.zavarsek@deakin.edu.au . For a copy of the position description, please see below: PD - Associate Research Fellow, 578790
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methods, and, more broadly, in the physics of imaging and materials science. The position will work in close collaboration with Professor Jian-Min Zuo, Director of the Monash Centre for Electron Microscopy
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable